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Artificial Intelligence Data Annotation Jobs in Florida

The GEO Group

DATA INTELLIGENCE INTERN

Boca Raton, FL · On-site

$20/hr

This role provides firsthand exposure to data intelligence, analytics, artificial intelligence, and operational reporting while supporting Data Intelligence Analysts, Data Scientists, and other team ...

The GEO Group

DATA INTELLIGENCE INTERN

Boca Raton, FL

$20/hr

This role provides firsthand exposure to data intelligence, analytics, artificial intelligence, and operational reporting while supporting Data Intelligence Analysts, Data Scientists, and other team ...

Marencor

Python GenAI Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. * Minimum of 7 years of professional experience in Python development. * Strong expertise ...

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All JobsArtificial Intelligence Data Annotation JobsArtificial Intelligence Data Annotation Jobs in Florida

Artificial Intelligence Data Annotation information

See Florida salary details

$19.5K

$77.7K

$151K

How much do artificial intelligence data annotation jobs pay per year?

As of Aug 10, 2026, the average yearly pay for artificial intelligence data annotation in Florida is $77,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,245.00 and $108,735.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in artificial intelligence data annotation?

To thrive as an Artificial Intelligence Data Annotation specialist, you need strong attention to detail, proficiency in data labeling, and a basic understanding of machine learning concepts, often supported by a high school diploma or higher. Familiarity with annotation platforms (such as Labelbox or CVAT), spreadsheet software, and sometimes knowledge of programming basics or data formats (like CSV or JSON) is beneficial. Strong communication skills, consistency, and the ability to work both independently and collaboratively are key soft skills for this role. These competencies ensure high-quality, accurate datasets that are critical for training reliable AI models.

How to become an artificial intelligence data annotation?

To become an AI data annotation specialist, you typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Some roles may require a high school diploma or equivalent, and training is often provided on the job. Developing skills in data labeling, understanding of AI concepts, and consistency are key to success in this field.

What does an artificial intelligence data annotation do?

Daily responsibilities for an Artificial Intelligence Data Annotation professional typically include reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them according to project guidelines. You may also participate in quality assurance checks, provide feedback to improve annotation processes, and collaborate with data scientists or project managers to clarify labeling standards. Most annotation work requires maintaining strict attention to detail and meeting production quotas or deadlines. Work is often structured individually but may involve collaboration within a larger team, especially when aligning on new guidelines or best practices. This structured, detail-oriented environment supports the development of high-quality training data for AI systems.

What is an artificial intelligence data annotation?

An Artificial Intelligence Data Annotation job involves labeling, tagging, or categorizing data such as text, images, audio, or video to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include bounding box annotation, sentiment analysis, transcription, or entity recognition, depending on the AI application. This role is essential in industries like autonomous vehicles, healthcare, and natural language processing. Attention to detail and familiarity with annotation tools are key skills for this job.

What are the most commonly searched types of Artificial Intelligence Data Annotation jobs in Florida? The most popular types of Artificial Intelligence Data Annotation jobs in Florida are:
What are popular job titles related to Artificial Intelligence Data Annotation jobs in Florida? For Artificial Intelligence Data Annotation jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Data Annotation jobs in Florida look for? The top searched job categories for Artificial Intelligence Data Annotation jobs in Florida are:
What cities in Florida are hiring for Artificial Intelligence Data Annotation jobs? Cities in Florida with the most Artificial Intelligence Data Annotation job openings:
Artificial Intelligence Data Annotation jobs near you
Infographic showing various Artificial Intelligence Data Annotation job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $77,709 per year, or $37.4 per hour.

Artificial Intelligence (AI) Engineer III (2316)

Morson Talent

Melbourne, FL • Hybrid

$55 - $62/hr

Full-time

Re-posted 7 days ago

Job description

Job Description Title: Artificial Intelligence (AI) Engineer III (2316) Location: Melbourne, Florida Openings: 1 Work Model: Hybrid, 2 - 3 days in office Job Type: Contract Duration: 1 Year Rate: $61/hour (W2) + Benefits Hours: 40 hours/week, 8 - 5 Project: Technology Division Position Summary: An AI (Artificial Intelligence) Engineer develops and trains AI models to automate processes and solve complex problems. They design and implement AI systems, ensuring they function effectively and align with business objectives. Responsibilities: Evaluate machine learning processes and select appropriate models.

Collect and analyze large datasets to train AI models. Develop and deploy AI algorithms and systems. Collaborate with cross functional teams to establish goals for AI processes.

Test and validate AI models to ensure accuracy and effectiveness. Manage data and project infrastructure. Stay updated on the latest AI developments and technologies.

Strong Large Language Model (LLM) Expertise Handson experience finetuning, adapting, and deploying LLMs, including prompt engineering, embeddings, and context management. LLM Application & System Architecture Proven ability to design and implement productiongrade LLM solutions such as RAG pipelines, agents, and tool/functioncalling systems. Production MLOps & Model Lifecycle Management Experience owning the endtoend ML lifecycle, including CI/CD, deployment, monitoring, versioning, and performance/cost optimization.

Advanced Python & Software Engineering Strong Python skills with experience building scalable, testable APIs and services that integrate ML/LLM models into enterprise systems. CloudBased Scalable ML Infrastructure Handson experience with AWS, Azure, or GCP, including containerization (Docker), orchestration (Kubernetes), and GPUbased ML workloads. Qualifications: Masters degree in Computer Science, Engineering, or a related field.

Proven experience as an AI Engineer or in a similar role. Strong programming skills in languages such as Python, R, or Java. Experience with machine learning frameworks and libraries.

Excellent analytical and problem-solving abilities. Effective communication and collaboration skills.

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